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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
models, simulations, environmental databases, sensors, surveys, and interviews Experience in scientific programming, scripting, or workflow automation. Knowledge of Python or an equivalent language is
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Distributed Fibre Optic Sensing - Solid analytical and problem-solving skills - Programming experience (e.g., Python, MATLAB) and experience operating on large datasets - Ability to work both independently
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. Technical Skills Proficiency in remote sensing (satellite image processing, GIS, photogrammetry); Programming skills for geospatial analysis: Python (rasterio, geopandas, scikit-learn) or R
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interest in sustainability transitions and/or urban systems tipping dynamics. Good knowledge of computational modelling and programming. Experience with Python and agent-based modelling is particularly
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and